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Llama 3.2 3B SFT Model Ocra 500K by HollowMan6

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Llama 3.2 3B SFT Model Ocra 500K is an open-source language model by HollowMan6. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, LLM Explorer Score: 0.16.

  Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/HollowMan6/Llama-3.2-3B-SFT-Model-Ocra-500k 

Llama 3.2 3B SFT Model Ocra 500K Benchmarks

LLME Score: 0.16375
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.2 3B SFT Model Ocra 500K (HollowMan6/Llama-3.2-3B-SFT-Model-Ocra-500k)
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Llama 3.2 3B SFT Model Ocra 500K Parameters and Internals

LLM NameLlama 3.2 3B SFT Model Ocra 500K
Repository 🤗https://huggingface.co/HollowMan6/Llama-3.2-3B-SFT-Model-Ocra-500k 
Model Size3b
Required VRAM6.5 GB
Updated2025-08-28
MaintainerHollowMan6
Model Typellama
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than HollowMan6/Llama-3.2-3B-SFT-Model-Ocra-500k.

Rank the Llama 3.2 3B SFT Model Ocra 500K Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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